Pith Number
pith:OD2OTSDK
pith:2022:OD2OTSDK7GEILJVMNKAD6CG2RW
not attested
not anchored
not stored
refs pending
"Understanding Robustness Lottery": A Geometric Visual Comparative Analysis of Neural Network Pruning Approaches
arxiv:2206.07918 v2 · 2022-06-16 · cs.HC · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{OD2OTSDK7GEILJVMNKAD6CG2RW}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
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claim
4
Citations
5
Replications
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Portable graph bundle live · download bundle · merged
state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same
current state with the deterministic merge algorithm.
Receipt and verification
| First computed | 2026-07-05T07:04:41.572799Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
70f4e9c86af98885a6ac6a803f08da8dbaa66f8d082b9ce6708f8ff136b5fc5b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OD2OTSDK7GEILJVMNKAD6CG2RW \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 70f4e9c86af98885a6ac6a803f08da8dbaa66f8d082b9ce6708f8ff136b5fc5b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "cdbb8cdf461d396b2d0e1923581375d4a920b2a7f705da4c0b4a30581cb086ac",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.HC",
"submitted_at": "2022-06-16T04:44:13Z",
"title_canon_sha256": "8f7b170330414c09a2ffda32ffdc9109320f4615e23072a25bacf067c9b527cd"
},
"schema_version": "1.0",
"source": {
"id": "2206.07918",
"kind": "arxiv",
"version": 2
}
}